Ontological descriptions of statistical models for sharing knowledge of academic emotions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Many studies have been conducted during the last two decades examining learner reactions within e-learning environments. In an effort to assist learners in their scholastic activities, these studies have attempted to understand learner mental states by analyzing participants' facial images, eye movements, and other physiological indices and data. To add to this growing body of research, we have been developing IMS (Intelligent Mentoring System) which performs automatic mentoring by using an ITS (Intelligent Tutoring System) to scaffold learning activities and an ontology to provide a specification of learner's models. To identify learner mental states, the ontology operates based on theoretical and data-driven knowledge of emotions. In this study, we use statistical models to examine constructs of emotions evaluated in previous psychological studies, and then produce a construct of academic boredom.

Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Computers in Education, ICCE 2014
EditorsHiroaki Ogata, Lara Lomicka-Anderson, Ching-Sing Chai, Regine Hampel, Yusuke Hayashi, Julita Vassileva, Chen-Chung Liu, Wenli Chen, Jack Hsu, Yu-Ju Lan, Jon Mason, Masanori Yamada, Hsin-Yih Shyu, Amali Weerasinghe, Ying-Tien Wu, Li Zhang, Kinshuk, Yukihiro Matsubara, Yongwu Miao, Hiroaki Ogata, Siu Cheung Kong, Maiga Chang, Morris S. Y. Jong, Rita Kuo, Robby Robson, Barbara Wasson, Akihiro Kashihara, Ulrike Cress, Marc Jansen, Jun Oshima, Chengjiu Yin, Jianwei Zhang, Clark Chinn
PublisherAsia-Pacific Society for Computers in Education
Pages42-49
Number of pages8
ISBN (Electronic)9784990801410
Publication statusPublished - 2014 Jan 1
Event22nd International Conference on Computers in Education, ICCE 2014 - Nara, Japan
Duration: 2014 Nov 302014 Dec 4

Publication series

NameProceedings of the 22nd International Conference on Computers in Education, ICCE 2014

Conference

Conference22nd International Conference on Computers in Education, ICCE 2014
Country/TerritoryJapan
CityNara
Period14/11/3014/12/4

Keywords

  • Academic boredom
  • Academic emotions
  • Constructs
  • Ontology

ASJC Scopus subject areas

  • Computer Science(all)
  • Education

Fingerprint

Dive into the research topics of 'Ontological descriptions of statistical models for sharing knowledge of academic emotions'. Together they form a unique fingerprint.

Cite this